Accepted/Published

[2024]

  • D’Acunto, G., Di Lorenzo, P., Bonchi, F., Sardellitti, S., & Barbarossa, S. (2024, July). Learning Multi-Frequency Partial Correlation Graphs. In IEEE Transactions on Signal Processing, vol. 72, pp. 2953-2969, 2024, doi: 10.1109/TSP.2024.3401072. [paper]

  • D’Acunto, G., Bonchi, F., De Francisci Morales, G., & Giovanni Petri (2024, January). Extracting the Multiscale Causal Backbone of Brain Dynamics. To be presented in the 3rd Conference on Causal Learning and Reasoning (CLeaR 2024, April 1-3, Los Angeles, CA). To be published in PMLR [preprint]

[2023]

  • D’Acunto, G., De Francisci Morales, G., Bajardi, P., & Bonchi, F. (2023, October). Learning Multiscale Non-stationary Causal Structures. In Transactions on Machine Learning Research. [paper]

  • D’Acunto, G., Di Lorenzo, P., & Barbarossa, S. (2023, October). Multiscale Causal Structure Learning. In Transactions on Machine Learning Research. [paper]

[2021]

  • D’Acunto, G., Bajardi, P., Bonchi, F., & De Francisci Morales, G. (2021, November). The evolving causal structure of equity risk factors. In Proceedings of the Second ACM International Conference on AI in Finance (pp. 1-8). [paper]

Submitted